Relevant bibliographies by topics / Spatio-Temporal heterogeneity

Academic literature on the topic 'Spatio-Temporal heterogeneity'

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Published: 15 June 2024

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Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Journal articles on the topic "Spatio-Temporal heterogeneity":

1

Scarrott, Rory Gordon, Fiona Cawkwell, Mark Jessopp, Caroline Cusack, Eleanor O’Rourke, and C. A. J. M. de Bie. "Ocean-Surface Heterogeneity Mapping (OHMA) to Identify Regions of Change." Remote Sensing 13, no. 7 (March 27, 2021): 1283. http://dx.doi.org/10.3390/rs13071283.

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Mapping heterogeneity of the ocean’s surface waters is important for understanding biogeographical distributions, ocean surface habitat mapping, and ocean surface stability. This article describes the Ocean-surface Heterogeneity MApping (OHMA) algorithm—an objective, replicable approach that uses hypertemporal, satellite-derived datasets to map the spatio-temporal heterogeneity of ocean surface waters. The OHMA produces a suite of complementary datasets—a surface spatio-temporal heterogeneity dataset, and an optimised spatio-temporal classification of the ocean surface. It was demonstrated here using a hypertemporal Sea Surface Temperature image dataset of the North Atlantic. Validation with Underway-derived temperature data showed higher heterogeneity areas were associated with stronger surface temperature gradients, or an increased presence of locally extreme temperature values. Using four exploratory case studies, spatio-temporal heterogeneity values were related to a range of region-specific surface and sub-surface characteristics including fronts, currents and bathymetry. The values conveyed the interactions between these parameters as a single metric. Such over-arching heterogeneity information is virtually impossible to map from in-situ instruments, or less temporally dense satellite datasets. This study demonstrated the OHMA approach is a useful and robust tool to explore, examine, and describe the ocean’s surface. It advances our capability to map biologically relevant measures of ocean surface heterogeneity. It can support ongoing efforts in Ocean Surface Partitioning, and attempts to understand marine species distributions. The study highlighted the need to establish dedicated spatio-temporal ocean validation sites, specifically measured using surface transits, to support advances in hypertemporal ocean data use, and exploitation. A number of future research avenues are also highlighted.
2

Ji, Jiahao, Jingyuan Wang, Chao Huang, Junjie Wu, Boren Xu, Zhenhe Wu, Junbo Zhang, and Yu Zheng. "Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 4 (June 26, 2023): 4356–64. http://dx.doi.org/10.1609/aaai.v37i4.25555.

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Robust prediction of citywide traffic flows at different time periods plays a crucial role in intelligent transportation systems. While previous work has made great efforts to model spatio-temporal correlations, existing methods still suffer from two key limitations: i) Most models collectively predict all regions' flows without accounting for spatial heterogeneity, i.e., different regions may have skewed traffic flow distributions. ii) These models fail to capture the temporal heterogeneity induced by time-varying traffic patterns, as they typically model temporal correlations with a shared parameterized space for all time periods. To tackle these challenges, we propose a novel Spatio-Temporal Self-Supervised Learning (ST-SSL) traffic prediction framework which enhances the traffic pattern representations to be reflective of both spatial and temporal heterogeneity, with auxiliary self-supervised learning paradigms. Specifically, our ST-SSL is built over an integrated module with temporal and spatial convolutions for encoding the information across space and time. To achieve the adaptive spatio-temporal self-supervised learning, our ST-SSL first performs the adaptive augmentation over the traffic flow graph data at both attribute- and structure-levels. On top of the augmented traffic graph, two SSL auxiliary tasks are constructed to supplement the main traffic prediction task with spatial and temporal heterogeneity-aware augmentation. Experiments on four benchmark datasets demonstrate that ST-SSL consistently outperforms various state-of-the-art baselines. Since spatio-temporal heterogeneity widely exists in practical datasets, the proposed framework may also cast light on other spatial-temporal applications. Model implementation is available at https://github.com/Echo-Ji/ST-SSL.
3

Atkinson, Peter M. "Pierre Dutilleul: Spatio-temporal Heterogeneity: Concepts and Analyses." Mathematical Geosciences 46, no. 4 (March 21, 2014): 513–15. http://dx.doi.org/10.1007/s11004-014-9528-z.

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Ren, Siyuan, Bin Guo, Qinfen Wang, and Zhiwen Yu. "Non-IID spatio-temporal prediction in smart cities." XRDS: Crossroads, The ACM Magazine for Students 28, no. 3 (March 2022): 38–41. http://dx.doi.org/10.1145/3522692.

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Non-IID spatio-temporal prediction research points toward emerging directions and fundamental solutions to address various complexities from the perspective of both data couplings and heterogeneity. Delving into the non-IID challenge and opportunity of spatio-temporal prediction in smart cities, this article also addresses current solutions to bring some inspiration to future researchers.
5

Zhu, Jun. "Spatio‐Temporal Heterogeneity: Concepts and Analyses by DUTILLEUL, P.R.L." Biometrics 69, no. 2 (June 2013): 557–58. http://dx.doi.org/10.1002/biom.12055.

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Shi, Qiang, Wujiao Dai, Rock Santerre, Zhiwei Li, and Ning Liu. "Spatially Heterogeneous Land Surface Deformation Data Fusion Method Based on an Enhanced Spatio-Temporal Random Effect Model." Remote Sensing 11, no. 9 (May 7, 2019): 1084. http://dx.doi.org/10.3390/rs11091084.

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The spatio-temporal random effect (STRE) model, a type of spatio-temporal Kalman filter model, can be used for the fusion of the Global Navigation Satellite System (GNSS) and Interferometric Synthetic Aperture Radar (InSAR) data to generate high spatio-temporal resolution deformation series, assuming that the land deformation is spatially homogeneous in the monitoring area. However, when there are multiple deformation sources in the monitoring area, complex spatial heterogeneity will appear. To improve the fusion accuracy, we propose an enhanced STRE fusion method (eSTRE) by taking spatial heterogeneity into consideration. This new method integrates the spatial heterogeneity constraints in the STRE model by constructing extra-constrained spatial bases for the heterogeneous area. The effectiveness of this method is verified by using simulated data and real land surface deformation data. The results show that eSTRE can reduce the root mean square (RMS) of InSAR interpolation results by 14% and 23% on average for a simulation experiment and Los Angeles experiment, respectively, indicating that the new proposed method (eSTRE) is substantially better than the previous STRE fusion model.
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Yuan, Haitao, Guoliang Li, and Zhifeng Bao. "Route Travel Time Estimation on a Road Network Revisited." Proceedings of the VLDB Endowment 16, no. 3 (November 2022): 393–405. http://dx.doi.org/10.14778/3570690.3570691.

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In this paper, we revisit the problem of route travel time estimation on a road network and aim to boost its accuracy by capturing and utilizing spatio-temporal features from four significant aspects: heterogeneity, proximity, periodicity and dynamicity. Spatial-wise, we consider two forms of heterogeneity at link level in a road network: the turning ways between different links are heterogeneous which can make the travel time of the same link various; different links contain heterogeneous attributes and thereby lead to different travel time. In addition, we take into account the proximity: neighboring links have similar traffic patterns and lead to similar travel speeds. To this end, we build a link-connection graph to capture such heterogeneity and proximity. Temporal-wise, the weekly/daily periodicity of temporal background information (e.g., rush hours) and dynamic traffic conditions have significant impact on the travel time, which result in static and dynamic spatio-temporal features respectively. To capture such impacts, we regard the travel time/speed as a combination of static and dynamic parts, and extract many spatio-temporal relevant features for the prediction task. Talking about the methodology, it remains an open problem to build a generic learning model to boost the estimation accuracy. Hence, we design a novel encoder-decoder framework - The encoder uses the sequence attention model to encode dynamic features from the temporal-wise perspective. The decoder first uses the heterogeneous graph attention model to decode the static part of travel speed based on static spatio-temporal features, and then leverages the sequence attention model to decode the estimated travel time from spatial-wise perspective. Extensive experiments on real datasets verify the superiority of our method as well as the importance of the four aspects outlined above.
8

Chen, Enhui, Zhirui Ye, and Hui Bi. "Incorporating Smart Card Data in Spatio-Temporal Analysis of Metro Travel Distances." Sustainability 11, no. 24 (December 10, 2019): 7069. http://dx.doi.org/10.3390/su11247069.

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The primary objective of this study is to explore spatio-temporal effects of the built environment on station-based travel distances through large-scale data processing. Previous studies mainly used global models in the causal analysis, but spatial and temporal autocorrelation and heterogeneity issues among research zones have not been sufficiently addressed. A framework integrating geographically and temporally weighted regression (GTWR) and the Shannon entropy index (SEI) was thus proposed to investigate the spatio-temporal relationship between travel behaviors and built environment. An empirical study was conducted in Nanjing, China, by incorporating smart card data with metro route data and built environment data. Comparative results show GTWR had a better performance of goodness-of-fit and achieved more accurate predictions, compared to traditional ordinary least squares (OLS) regression and geographically weighted regression (GWR). The spatio-temporal relationship between travel distances and built environment was further analyzed by visualizing the average variation of local coefficients distributions. Effects of built environment variables on metro travel distances were heterogeneous over space and time. Non-commuting activity and exurban area generally had more influences on the heterogeneity of travel distances. The proposed framework can address the issue of spatio-temporal autocorrelation and enhance our understanding of impacts of built environment on travel behaviors, which provides useful guidance for transit agencies and planning departments to implement targeted investment policies and enhance public transit services.
9

Zhang, Yan, Bak Koon Teoh, Limao Zhang, and Jiayu Chen. "Spatio-temporal heterogeneity analysis of energy use in residential buildings." Journal of Cleaner Production 352 (June 2022): 131422. http://dx.doi.org/10.1016/j.jclepro.2022.131422.

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Banerjee, Bidisha, Dipanjan Bhattacharya, and G. V. Shivashankar. "Chromatin Structure Exhibits Spatio-Temporal Heterogeneity within the Cell Nucleus." Biophysical Journal 91, no. 6 (September 2006): 2297–303. http://dx.doi.org/10.1529/biophysj.105.079525.

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Journal articles

Dissertations / Theses on the topic "Spatio-Temporal heterogeneity":

1

Mazzola, Monica B. "Spatio-temporal heterogeneity and habitat invasibility [sic] sagebrush steppe ecosystems." abstract, 2008. http://0-gateway.proquest.com.innopac.library.unr.edu/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3307539.

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2

Afán, Asencio Isabel. "Ecological response of marine predators to environmental heterogeneity and spatio-temporal variability in resource availability." Doctoral thesis, Universitat de Barcelona, 2016. http://hdl.handle.net/10803/398990.

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Seabirds have evolved within an open and dynamic environment, the ocean. As meso-top predators, seabirds are greatly influenced by the oceanographic conditions driving marine productivity, and therefore, distribution of their prey. Consequently, seabirds’ behaviour and, ultimately, life-history traits are greatly influenced, by the ever-changing oceanographic conditions. However, oceanographic conditions are currently changing at ever-increasing rates due to global warming and human harvest impacting marine ecosystems. Thus, seabirds have become particularly vulnerable to these changes. Accordingly, in this thesis, we investigated the ecological responses of seabirds, in terms of foraging and breeding performance, to the spatio-temporal variability of environmental conditions imposed by oceans and exacerbated by climate and human stressors. In particular, we (i) identified the climate and human stressors impacting the world’s ocean, (ii) investigated the actual scale at which seabirds interact with their environment, (iii) assessed how seabirds respond to oceanographic variability by changing their foraging and reproductive strategies and (iv) proposed an integrative tool for the design of marine reserves protecting seabirds and their environment. The objectives of this thesis were accomplished through advanced procedures in the fields of satellite remote sensing and animal tracking. Our results confirmed the unprecedented changes experienced by oceans in the last decades. However, we were able to provide deepest insights on the uneven distribution of climate and human driven environmental changes. When investigating the link between such environmental variability and seabirds’ behaviour, we found that dynamic processes as ocean currents were key factors determining the scale at which seabirds interact with their environment. Environmental features driving the spatiotemporal distribution of prey (e.g. sea surface temperature, chlorophyll-a, sea fronts and persistent areas of productivity) along with industrial fisheries played a fundamental role in determining the foraging distribution of seabirds. However, seabirds’ foraging strategies were largely constrained by limitations imposed by their central-place foraging behaviour and by dynamic factors such as prevalent winds, which influenced individual decision- making in heading directions when foraging. Intra and interspecific competition for resources also modulated foraging distributions, avoiding conspecifics or segregating foraging areas among sympatric species in appropriate stages. In general, we have provided a complete picture of environmental processes affecting seabirds. We argue that this information would be extremely useful for designing suitable management and conservation strategies. Thus, we finally proposed an adaptive framework for delimitation of more meaningful marine reserves that maximises conservation targets for seabirds, while accounting for human activities, environmental and biological factors largely driven seabird performance and, remarkably, the dynamism inherent to marine systems.
3

He, Qian. "Spatio-Temporal Patterns, Correlations, and Disorder in Evolutionary Game Theory." Diss., Virginia Tech, 2011. http://hdl.handle.net/10919/40296.

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Evolutionary game theory originated from the application of mathematical game theory to biological studies. Well-known examples in evolutionary game theory are the prisoner's dilemma, predator-prey models, the rock-paper-scissors game, etc. Recently, such well-known models have attracted increased interest in population dynamics to understand the emergence of biodiversity and species coexistence. Meanwhile, it has been realized that techniques from statistical physics can aid us to gain novel insights into this interdisciplinary field. In our research, we mainly employ individual-based Monte Carlo simulations to study emerging spatio-temporal patterns, spatial correlations, and the influence of quenched spatial disorder in rock-paper-scissors systems either with or without conserved total population number. In balanced rock-paper-scissors systems far away from the ``corner'' of configuration space, it is shown that quenched spatial disorder in the reaction rates has only minor effects on the co-evolutionary dynamics. However, in model variants with strongly asymmetric rates (i.e., ``corner'' rock-paper-scissors systems), we find that spatial rate variability can greatly enhance the fitness of both minor species in``corner'' systems, a phenomenon already observed in two-species Lotka-Volterra predator-prey models. Moreover, we numerically study the influence of either pure hopping processes or exchange processes on the emergence of spiral patterns in spatial rock-paper-scissors systems without conservation law (i.e., May-Leonard model). We also observe distinct extinction features for small spatial May-Leonard systems when the mobility rate crosses the critical threshold which separates the active coexistence state from an inactive absorbing state. In addition, through Monte Carlo simulation on a heterogeneous interacting agents model, we investigate the universal scaling properties in financial markets such as the fat-tail distributions in return and trading volume, the volatility clustering, and the long-range correlation in volatility. It is demonstrated that the long-tail feature in trading volume distribution results in the fat-tail distribution of asset return, and furthermore it is shown that the long tail in trading volume distribution is caused by the heterogeneity in traders' sensitivities to market risk.
Ph. D.
4

Umakhanthan, Kanagaratnam Civil &amp Environmental Engineering Faculty of Engineering UNSW. "Estimation of the spatio-temporal heterogeneity of rainfall and its importance towards robust catchment simulation, within a hydroinformatic environment." Awarded by:University of New South Wales. School of Civil and Environmental Engineering, 2002. http://handle.unsw.edu.au/1959.4/18668.

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Rainfall is a natural process, which has a high degree of variability in both space and time. Information on the spatial and temporal variability of rainfall plays an important role in the process of surface runoff generation. Hence it is important for a variety of applications in hydrology and water resources management. The spatial variability of rainfall can be substantial even for very small catchments and an important factor in the reliability of rainfall-runoff simulations. Catchments in urban areas usually are small, and the management problems often require the numerical simulation of catchment processes and hence the need to consider the spatial and temporal variability of rainfall. A need exists, therefore, to analyse the sensitivity of rainfall-runoff behaviour of catchment modelling systems (CMS) to imperfect knowledge of rainfall input, in order to judge whether or not they are reliable and robust, especially if they are to be used for operational purposes. Development of a methodology for identification of storm events according to the degree of heterogeneity in space and time and thence development of a detailed spatial and temporal rainfall model within a hydroinformatic environment utilising real-time data has been the focus of this project. The improvement in runoff prediction accuracy and hence the importance of the rainfall input model in runoff prediction is then demonstrated through the application of a CMS for differing variability of real storm events to catchments with differing orders of scale. The study identified both spatial and temporal semi-variograms, which were produced by plotting the semi-variance of gauge records in space and time against distance and time respectively. These semi-variograms were utilised in introducing estimators to measure the degree of heterogeneity of each individual storm events in their space and time scale. Also, the proposed estimators use ground based gauge records of the real storm events and do not rely on delicate meteorological interpretations. As the results of the investigation on the developed semi-variogram approach, real storm events were categorised as being High Spatial-High Temporal (HS-HT); High Spatial-Low Temporal; (HS-LT); Low Spatial-High Temporal (LS-HT); and Low Spatial-Low Temporal variability.A comparatively detailed rainfall distribution model in space and time was developed within the Geographical Information Systems (GIS). The enhanced rainfall representation in both space and time scale is made feasible in the study by the aid of the powerful spatial analytic capability of GIS. The basis of this rainfall model is an extension of the rainfall model developed by Luk and Ball (1998) through a temporal discretisation of the storm event. From this model, improved estimates of the spatially distributed with smaller time steps hyetographs suited for especially the urban catchments could be obtained. The importance of the detailed space-time rainfall model in improving the robustness of runoff prediction of CMS was investigated by comparing error parameters for predictions from CMS using alternate rainfall models, for various degrees of spatiotemporal heterogeneity events. Also it is appropriate to investigate whether the degree of this improvement to be dependent on the variability of the storm event which is assessed by the adopted semi-variogram approach. From the investigations made, it was found that the spline surface rainfall model, which considered the spatial and temporal variability of the rainfall in greater detail than the Thiessen rainfall model resulted in predicted hydrographs that more closely duplicated the recorded hydrograph for the same parameter set. The degree of this improvement in the predicted hydrograph was found to be dependent on the spatial and temporal variability of the storm event as measured by the proposed semi-variogram approach for assessing this feature of a storm event. The analysis is based on forty real events recorded from the Centennial Park Catchment (1.3km2) and the Upper Parramatta River Catchment (110km2) in Sydney, Australia. These two case study catchments were selected to ensure that catchment scale effects were incorporated in the conclusions developed during the study.
5

Lambert, Charlotte. "Top predators in marine ecosystem : their response to ocean spatio-temporal variability." Thesis, La Rochelle, 2016. http://www.theses.fr/2016LAROS010/document.

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Le milieu marin est un espace difficile à étudier et notre connaissance des cétacés et des oiseaux marins présente encore de nombreuses lacunes, notamment concernant leur distribution au large. Le milieu marin pélagique est caractérisé par une forte variabilité spatiotemporelle, les différents processus écologiques composant cet écosystème étant très dynamiques dans le temps et l'espace. Il est donc crucial pour ces espèces marines d'anticiper ces variations afin de se maintenir dans le milieu. Grâce à des campagnes en mer à grandes échelles réalisées en Manche, Golfe de Gascogne et Méditerranée occidentale, cette thèse vise à améliorer la connaissance de la distribution des cétacés et oiseaux marins dans ces régions, et explorer l'impact de la variabilité spatiotemporelle de l'océan sur leur écologie. Ce travail se focalise notamment sur deux échelles temporelles, les variations saisonnières et interannuelles. Dans un premier temps, nous étudierons les variations de préférences d'habitats des espèces étudiées à ces deux échelles. Les cétacés et oiseaux marins étant des espèces longévives caractérisées par de longues périodes d'apprentissage au début de leur vie, nous explorerons également comment la réponse à la saisonnalité varie en fonction de l'expérience chez une espèce commune dans la région, le fou de Bassan. Enfin, nous finirons par explorer les liens prédateurs-proies dans le Golfe de Gascogne, en considérant notamment l'accessibilité de ces proies en termes de taille et de profondeur. Ainsi, cette thèse nous permettra de discuter les implications de ce travail concernant l'écologie des cétacés et oiseaux marins, ainsi que leur conservation
Marine ecosystem is hard to study and several gaps remain in our understanding of cetaceans and seabirds, particularly regarding their at-sea distributions. The pelagic ecosystem is characterised by an important spatiotemporal variability, thanks to the space and time dynamics of its constituting ecological processes. Top predators thus have to anticipate this variability to sustain themselves in the ecosystem. Based on large-scale surveys across waters of the English Channel, Bay of Biscay and north-western Mediterranean Sea, this thesis aimed at improving knowledge regarding the distribution of cetaceans and seabirds in the area, and to explore the impact of ocean spatiotemporal variability on their ecology. This work focused on two temporal scales, the seasonal and interannual variability. We first explored the variations of habitat preferences of studied species at these two temporal scales. Cetaceans and seabirds being long-lived species characterised by long learning periods in their early life, the response to seasonality was investigated according to age and experience in northern gannets, the most abundant seabird species in the area. Finally, the predator-prey association within the Bay of Biscay was also explored, by contrasting prey accessibility in terms of size and depth. The implications of this work regarding the ecology of marine top predators, as well as their conservation, are finally discussed
6

Guo, Dali. "Spatio-temporal patterns of soil resources following disturbance in a 40-year-old slash pine (pinus elliottii Engelm.) forest in the Coastal Plain of South Carolina." Diss., Virginia Tech, 2001. http://hdl.handle.net/10919/29346.

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There has been an increased interest in characterizing and interpreting ecological heterogeneity over space and time in the past two decades. This is mainly due to the renewed recognition of the significance of heterogeneity in ecological theories. However, studies that have combined both spatial and temporal aspects of heterogeneity have been rare. A unified approach to define and quantify heterogeneity has also been lacking. Designed to overcome these problems, this study was conducted in a 40-year-old Pinus elliottii Engelm. forest at the Savannah River Site near Aiken, SC, USA with the following specific objectives: 1) to characterize the spatial patterns of soil and forest floor variables (moisture, pH, soil available nitrogen and phosphate, forest floor and soil carbon and nitrogen), 2) to examine the dynamics of these spatial patterns in response to two types of disturbance: whole-tree harvesting and girdling, and 3) to evaluate some of the current methods for quantifying ecological heterogeneity. In response to both disturbance treatments, spatial heterogeneity measured by sample variance showed a marked "increase and then decline" temporal pattern in soil moisture, soil available nitrogen and phosphorus. Similar patterns were not found in total soil C and N, and total litter C and N. Harvesting resulted in greater and more drastic changes in the variations of soil nutrients and water than did girdling. Despite the popularity of semivariogram analysis in recent ecological studies, the technique did not provide consistent results on patterns of heterogeneity in our system. A simulation experiment demonstrated that semivariogram analysis may suffer from many problems when it is used to characterize patchiness, one form of heterogeneity. The results from this study have a number of implications. First, spatial patterns of soil resources are high dynamic. The dynamics of patterns in soil resources may partly account for the weak correlation between vegetation and soil observed in ecological literature. Second, heterogeneity may be most effectively quantified by first identifying quantifiable components and then quantifying these components individually. A common pattern can be sought by comparing patterns of different components of heterogeneity for a given ecological property and by comparing patterns of different ecological variables for a given component of heterogeneity. Third, compared to surveys, field manipulative experiments can provide information that link patterns with ecological processes. As such, this study adds to ecological literature valuable information on temporal changes of soil heterogeneity following disturbance and conceptual advances in the quantification of ecological heterogeneity.
Ph. D.
7

Olazcuaga, Laure. "Réponses adaptatives chez Drosophila suzukii, une espèce généraliste envahissante." Electronic Thesis or Diss., Montpellier, SupAgro, 2019. http://www.theses.fr/2019NSAM0045.

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Comprendre comment évolue l’adéquation entre le phénotype des organismes et leur environnement est un enjeu majeur de la biologie évolutive, notamment dans le contexte des changements globaux. Dans le cadre de cette thèse, j’ai étudié les réponses adaptatives aux pressions environnementales, à différentes échelles géographiques et temporelles de Drosophila suzukii, une espèce généraliste envahissante ravageuse des cultures fruitières. J’ai utilisé des méthodes de génétique évolutive combinant génomique des populations et approches expérimentales centrées sur l’étude des traits d’histoire de vie. A partir d’une analyse d’association entre la différenciation génétique et le statut natif ou invasif de 22 populations échantillonnées à travers le monde, j’ai identifié des gènes candidats présentant des variations alléliques fortement associées à l’invasion de D. suzukii. A une échelle temporelle et géographique plus fine (i.e., au sein d’une région de l’aire envahie), je me suis intéressée à la réponse adaptative de cette espèce à une disponibilité des plantes hôtes hétérogène dans l’espace et dans le temps. En utilisant des approches d’évolution expérimentale, j’ai montré que des patrons d’adaptation locale aux fruits hôtes émergent en moins de 30 générations en laboratoire. De manière surprenante, j’ai détecté un patron semblable d’adaptation locale aux fruits hôtes dans des populations naturelles ayant passé moins de quatre générations sur un même fruit. La rapidité des réponses adaptatives observées in natura soulève de nombreuses questions sur la dynamique des processus influençant l’évolution de l’adaptation locale dans un environnement hétérogène dans l’espace et dans le temps à une échelle géographique fine. Les travaux de cette thèse ont permis d’apporter un ensemble d’éléments conceptuels et méthodologiques novateurs pour améliorer notre compréhension de la dynamique de l’adaptation des insectes phytophages à leurs plantes hôtes et des changements évolutifs ayant lieu au cours d’une invasion
The evolution of the match between the phenotype of organisms and their environment is a major issue in evolutionary biology, especially in a context of global change. During my PhD, I investigated the adaptive response to spatio-temporal environmental heterogeneity at different geographic and temporal scales of the spotted wing drosophila Drosophila suzukii, an invasive generalist pest of fruit crops. I used ecological genetic approaches, that combine populations genomics and experimental approaches focusing on lifehistory trait analyses. Based on an association study between genome-wide allelic variations and the invasive or native status of 22 populations sampled worldwide, I identified candidate genes whose allelic variation was strongly associated with the invasion status of D. suzukii. On a finer time and geographic scale (i.e., within a region of the invaded area), I studied the adaptive response of this species to spatiotemporal heterogeneity in host fruit availability. Using experimental evolution in the lab, I found that local adaptation patterns to host fruits emergence within less than 30 generations. Surprisingly, I detected a similar pattern in natural populations that evolved for less than four generations on the same fruit in the field. The speed of adaptive responses observed in natura raises important questions regarding the nature and the dynamics of processes influencing the evolution of fine geographic scale local adaptation in spatiotemporally heterogeneous environments. This PhD work provides new conceptual and methodological elements that improve our understanding of the dynamics of the adaptation of phytophagous insects to their host plant and of the evolutionary changes occurring during the invasion process
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Smucker, Nathan J. "Using Diatoms and Biofilms to Assess Agricultural and Coal Mining Impacts on Streams, Spatio-Temporal Variability, and Successional Processes." Ohio University / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1276285170.

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9

Umakhanthan, K. "Estimation of the spatio-temporal heterogeneity of rainfall and its importance towards robust catchment simulation, within a hydroinformatic environment /." 2002. http://www.library.unsw.edu.au/~thesis/adt-NUN/public/adt-NUN20030217.121039/index.html.

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Books on the topic "Spatio-Temporal heterogeneity":

1

Dutilleul, Pierre. Spatio-temporal heterogeneity: Concepts and analyses. Cambridge: Cambridge University Press, 2011.

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2

Miguel, Eve, Florence Fournet, Serge Yerbanga, Nicolas Moiroux, Franck Yao, Timothée Vergne, Bernard Cazelles, Roch K. Dabiré, Frédéric Simard, and Benjamin Roche. Optimizing public health strategies in low-income countries: epidemiology, ecology and evolution for the control of malaria. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198789833.003.0016.

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During the 20th century, health inequalities among countries have increased. Several factors explain this pattern, such as immunization and massive antibiotherapy, but nutrition, housing and hygiene are key parameters for health improvement. This heterogeneity among countries is well illustrated by malaria, although disappeared from many high-income countries, is still endemic and prevalent in low- and middle-income countries. We question these differences and detail the recommendations proposed by the World Health Organization to tackle malaria. We investigate the optimal combination of actions to deploy in resource-limited countries and the best spatio-temporal window to target. We propose a new framework for health program management based on evolutionary biology approaches to tailor global programs, to improve their local efficiency and avoid resistance. Thus, we explore all components of the ecological niche of the parasite (human, vector and environment) and consider the magnitude of actions to deploy to reach its local.

Book chapters on the topic "Spatio-Temporal heterogeneity":

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Kaushik, Saurabh, Pawan Kumar Joshi, Tejpal Singh, and Mohd Farooq Azam. "Spatio-Temporal Heterogeneity in Glaciers Response Across Western Himalaya." In Mountain Landscapes in Transition, 185–206. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70238-0_4.

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Tran, Ba-Huy, Christine Plumejeaud-Perreau, Alain Bouju, and Vincent Bretagnolle. "A Semantic Mediator for Handling Heterogeneity of Spatio-Temporal Environment Data." In Communications in Computer and Information Science, 381–92. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24129-6_33.

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Freemark, Kathryn E., John B. Dunning, Sallie J. Hejl, and John R. Probst. "A Landscape Ecology Perspective For Research, Conservation, And Management." In Ecology And Management Of Neotropical Migratory Birds, 381–427. Oxford University PressNew York, NY, 1995. http://dx.doi.org/10.1093/oso/9780195084405.003.0014.

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Abstract It is becoming increasingly clear that the distribution and population dynamics of Neotropical migratory birds cannot be under stood solely from processes occurring within individual habitat patches. Effects from the surrounding landscape also have to be considered. The need for a landscape perspective in conservation and management has been explicitly recognized in the eco system management approach being developed by the USDA Forest Service (Kessler et al. 1992 and related papers in the same issue) and is currently being evaluated in the Pacific Northwest (Franklin 1989, Hansen et al. 1991, Bormann et al. 1994).Landscape ecology represents a renewed interest in the development and dynamics of landscape mosaics, the effects of landscape patterns on species, biotic interactions and ecological processes, and how landscape heterogeneity can be managed to benefit society (Risser et al. 1984, Naveh and Lieberman 1984, Allen and Hoekstra 1992). An emphasis on spatial heterogeneity, human influences, and spatio-temporal dynamics distinguishes landscape ecology from other types of ecological investigation.
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Joshi, P. K., and Neena Priyanka. "Geo-Informatics for Land Use and Biodiversity Studies." In Geographic Information Systems, 1913–39. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2038-4.ch114.

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The dynamics of land use/land cover (LU/LC) is a manifestation of the cyclic correlation among the kind and magnitude of causes, impacts, responses and resulting ecological processes of the ecosystem. Thus, the holistic understanding of the complex mechanisms that control LU/LC requires synergetic adoption of measurement approaches, addressing issues, and identifying drivers of change and state of art technologies for mitigation measures. As the spatio-temporal heterogeneity of the LU/LC increases, its impact on biodiversity becomes even more difficult to anticipate. Thus, in order to understand the spatio-temporal dynamics of change in landscape and its relationship to biodiversity, it is necessary to reliably identify and quantify the indicators of change. In addition, it is also important to have better understanding of the technologies and techniques that serve as complimentary tool for land mitigation and conservation planning. Against this background, the chapter aims to synthesize LU/LC studies worldwide and their impacts on biodiversity. This chapter explores identification and analysis of key natural, socio-economic and regulatory drivers for LU/LC. Finally, it attempts to collate some LU/LC studies involving usage of geospatial tools, such as satellite remote sensing, Geographic Information System (GIS), Global Positioning System (GPS), and integrative tools, besides conventional approaches that could assist decision makers, land managers, stakeholders and researchers in better management and formulation of conservation strategies based on scientific grounds.
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Glowczewski, Barbara. "A Topological Approach to Australian Cosmology and Social Organisation." In Indigenising Anthropology with Guattari and Deleuze, 202–22. Edinburgh University Press, 2019. http://dx.doi.org/10.3366/edinburgh/9781474450300.003.0007.

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Aboriginal kinship has stimulated many mathematicians. In the 1980’s, Glowczewski showed that there is a non euclidian ‘topologic’ that is common to what Indigenous Australians call their “Law”: a non hierarchical system of classificatory ritual kinship, a projection of the mythical travels of totemic ancestors (the Dreamings) into the landscape and a system of ritual obligations taboos. In other words, the social valorisation of heterogeneity recognises irreducible singularities shared by humans, non humans and the land as a condition for a commons that in no way homogenises society into a hierarchical order. The topological figure of the hypercube was used here to illustrate some complex Aboriginal relational rules that exclude the centralisation of power both in social organisation and in the totemic cosmology. To translate Indigenous spatio-temporal concepts Glowczewski was partly inspired by science fiction, that speculates about the 4th dimension. When shown the hypercube as a tool to account for the kinship logic of their Dreamings, the Warlpiri elders thought it was a ‘good game’! First published in 1989.
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Faucon, Térésa. "Godard’s suburban years." In Screening the Paris suburbs. Manchester University Press, 2018. http://dx.doi.org/10.7228/manchester/9781526106858.003.0011.

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Far from a simple backdrop, the lived environment was for Jean-Luc Godard capable of eliciting specific modes of cinematographic thought; choice of locations could impact the shape and feel of a film more than its screenplay. Prevalent in his works of the 1960s are suburban landscapes and locales, from the villas, cafés and roadways frequented by the characters of Bande à part (1964) to the high-rises of La Courneuve shown in the essay in phenomenology 2 ou 3 choses que je sais d’elle (1967). Without positing an equivalence between suburban heterogeneity and Godard’s jarring late-modern aesthetic, the author argues for the generative, transgressive capacity of a capitalist space in the throes of transformation and shot through with fragments of history. Shooting near Joinville-le-Pont and Vincennes in Bande à part, Godard pays homage to those pioneers who came before him, like Mack Sennett or Louis Feuillade. In other contexts, like the science-fiction sendup Alphaville (1965), he finds signs of the future in the present, showing Lemmy Caution moving through sleek, well-lit neighbourhoods of high-rises. The spatio-temporal rupture characteristic of Godard’s approach to suburban space resurfaces to surprising effect in Holy Motors (Leos Carax, 2012).

Conference papers on the topic "Spatio-Temporal heterogeneity":

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Hu, Shihui, Xinmeng Wan, and Danhuai Guo. "Spatio-temporal Heterogeneity Analysis of Transportation Equity Based on GTWR." In SIGSPATIAL '23: The 31st ACM International Conference on Advances in Geographic Information Systems. New York, NY, USA: ACM, 2023. http://dx.doi.org/10.1145/3615884.3629432.

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Zhen, Andrew, Minjeong Kim, and Guorong Wu. "Disentangling The Spatio-Temporal Heterogeneity of Alzheimer’s Disease Using A Deep Predictive Stratification Network." In 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI). IEEE, 2021. http://dx.doi.org/10.1109/isbi48211.2021.9433903.

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Diaz, M. B., G. W. Lee, S. Yun, and K. Y. Kim. "Spatio-Temporal Evolution of Swelling Behavior of Gyeongju Bentonite Under Hydration Process." In 57th U.S. Rock Mechanics/Geomechanics Symposium. ARMA, 2023. http://dx.doi.org/10.56952/arma-2023-0854.

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ABSTRACT Gyengju bentonite has been suggested as a candidate material for buffer and backfill in high-level radioactive waste repository facilities in South Korea. Under the influence of environmental conditions such as thermal, hydrological, and mechanical processes, it is essential to investigate the behavior of these materials. In this study we assessed the swelling behavior of KJ-II Gyeongju bentonite under hydration using X-ray CT technology. A cylindrical sample of 27.5 mm in diameter and 34 mm in height using was utilized in a tailor-made hydration cell, and water was injected at a constant pressure of 0.206 MPa for seven days. Multiple CT scans were carried out before and every 24 hours after hydration onset. A small defragmentation was observed at the top of the sample after assembly, which disappeared gradually after hydration began. The CT profiles provided a detailed view of the swelling process, which was initially detected as an increase in CT values at the middle and upper parts of the sample, while the lower region experienced a decrease near the inlet point. The initial increase and decrease in the respective upper and lower regions diminished over time, and the final values approached the original state. The mean CT value of the sample increased by 4.3% after day 1 and decreased progressively to 0.6% on day 7. Furthermore, the CT distribution curves demonstrated the heterogeneity of the particle density captured through the full width at half maximum and revealed that the hydration process initially increased the heterogeneity, which later decreased as the bentonite underwent swelling. Finally, vertical sections taken near the inlet were used to calculate the differences between each hydration day and the dry state. The mean values on these changes in the diametrical direction showed that the hydration process occurred without significant variations between the region near the inlet and adjacent regions, indicating uniform hydration. This evaluation demonstrated the benefits of this non-destructive technology and its ability to provide detailed information about bentonite materials undergoing hydration.
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Mumenthaler, Shannon, Jasmine Foo, Nathan Choi, William Pao, David Agus, Franziska Michor, and Parag Mallick. "Abstract PR16: Spatio-temporal heterogeneity in the tumor microenvironment influences the evolutionary dynamics of drug resistance." In Abstracts: AACR Special Conference on Cellular Heterogeneity in the Tumor Microenvironment; February 26 — March 1, 2014; San Diego, CA. American Association for Cancer Research, 2015. http://dx.doi.org/10.1158/1538-7445.chtme14-pr16.

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Khurana, Swamini, Falk Heße, and Martin Thullner. "Influence of Spatio-Temporal Heterogeneity on Biogeochemical Cycling in the Subsurface Using a Numerical Modeling Approach." In Goldschmidt2020. Geochemical Society, 2020. http://dx.doi.org/10.46427/gold2020.1291.

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Gil-Bernabe, Sara, Noa Feas Rodríguez, Miriam Vega Herrero, Jose Javier Estébanez García, and Ginesa M. Garcia-Rostan. "Abstract 2770: Spatio-temporal genetic heterogeneity and clonal evolution in advanced papillary thyroid carcinomas and matched distant metastases." In Proceedings: AACR Annual Meeting 2019; March 29-April 3, 2019; Atlanta, GA. American Association for Cancer Research, 2019. http://dx.doi.org/10.1158/1538-7445.sabcs18-2770.

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Gil-Bernabe, Sara, Noa Feas Rodríguez, Miriam Vega Herrero, Jose Javier Estébanez García, and Ginesa M. Garcia-Rostan. "Abstract 2770: Spatio-temporal genetic heterogeneity and clonal evolution in advanced papillary thyroid carcinomas and matched distant metastases." In Proceedings: AACR Annual Meeting 2019; March 29-April 3, 2019; Atlanta, GA. American Association for Cancer Research, 2019. http://dx.doi.org/10.1158/1538-7445.am2019-2770.

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Liu, Fabao, Xingli Jia, Dang Wang, and Ao Du. "Analysis on the Spatio-Temporal Heterogeneity of the Regional Ecosystem Services Value in the Process of Road Networking." In 20th COTA International Conference of Transportation Professionals. Reston, VA: American Society of Civil Engineers, 2020. http://dx.doi.org/10.1061/9780784482933.287.

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Xicai Pan, P. Klenk, K. Roth, Jiabao Zhang, Ping Huang, and Dan He. "Multi-channel GPR to assess the influence of shallow structural heterogeneity on spatio-temporal variations of near-surface soil water content." In 2012 14th International Conference on Ground Penetrating Radar (GPR). IEEE, 2012. http://dx.doi.org/10.1109/icgpr.2012.6254944.

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Gil, Sara, José Javier Estébanez, Noa Féas, Joaquín Fra, and Ginesa María Garcia-Rostán. "Abstract PO-005: Spatio-temporal geographical molecular mapping of primary papillary thyroid carcinomas and paired distant metastases: Clinical relevance for monitoring and targeting tumor heterogeneity." In Abstracts: AACR Virtual Special Conference on Tumor Heterogeneity: From Single Cells to Clinical Impact; September 17-18, 2020. American Association for Cancer Research, 2020. http://dx.doi.org/10.1158/1538-7445.tumhet2020-po-005.

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